2015 OCT Health Office Professional Embedded Tech Diploma Trends

2015 OCT Health Office Professional Embedded Tech Diploma Trends

Occupation Overview
EMSI Q2 2015 Data Set

Health Office Professional
Embedded Technical Diploma
October 2015

Western Technical College

400 Seventh Street
La Crosse, Wisconsin 54601
608.785.9200

EMSI Q2 2015 Data Set | www.economicmodeling.com

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Parameters
Occupations
Code

Description

43-4051

Customer Service Representatives

43-4199

Information and Record Clerks, All Other

43-6013

Medical Secretaries

43-9011

Computer Operators

43-9041

Insurance Claims and Policy Processing Clerks

Regions
Code

Description

55011

Buffalo County, WI

55023

Crawford County, WI

55053

Jackson County, WI

55057

Juneau County, WI

55063

La Crosse County, WI

55081

Monroe County, WI

55121

Trempealeau County, WI

55123

Vernon County, WI

Timeframe
2016 - 2020

Datarun
2015.2 – Employees
Health Office Professional Embedded Tech Diploma 2015 (AED) in 8 Counties

EMSI Q2 2015 Data Set | www.economicmodeling.com

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SOC

Description

2016
Jobs

2020
Jobs

2016 2020
Change

2016 2020 %
Change

Openings

Annual
Openings

Median
Hourly
Earnings

43-4051

Customer Service
Representatives

2,588

2,722

134

5%

425

106

$13.87

238

233

(5)

(2%)

21

5

$16.96

756

801

45

6%

84

21

$15.57

50

49

(1)

(2%)

<10

Insf. Data

$19.91

213

244

31

15%

56

14

$15.59

3,845

4,048

203

5%

588

147

$14.57

43-4199
43-6013
43-9011

43-9041

Information and
Record Clerks, All
Other
Medical
Secretaries
Computer
Operators
Insurance Claims
and Policy
Processing
Clerks

Occupation Summary for Health Office Professional Embedded Tech
Diploma 2015 (AED)

3,778

5.3%

$14.57/hr

Jobs (2015)

% Change (2016-2020)

Median Hourly Earnings

2% above National average

Nation: 5.2%

Nation: $15.51/hr

EMSI Q2 2015 Data Set | www.economicmodeling.com

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Growth

3,845

4,048

203

5.3%

2016 Jobs

2020 Jobs

Change (2016-2020)

% Change (2016-2020)

Occupation

2016 Jobs

2020 Jobs

Change

% Change

Customer Service
Representatives (43-4051)

2,588

2,722

134

5%

Information and Record
Clerks, All Other (43-4199)

238

233

-5

-2%

Medical Secretaries
(43-6013)

756

801

45

6%

Computer Operators
(43-9011)

50

49

-1

-2%

213

244

31

15%

Insurance Claims and Policy
Processing Clerks (43-9041)

EMSI Q2 2015 Data Set | www.economicmodeling.com

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Percentile Earnings

$12.09/hr

$14.57/hr

$17.49/hr

25th Percentile Earnings

Median Earnings

75th Percentile Earnings

25th Percentile
Earnings

Median Earnings

75th Percentile
Earnings

Customer Service
Representatives (43-4051)

$11.33

$13.87

$16.98

Information and Record Clerks, All
Other (43-4199)

$14.42

$16.96

$19.91

Medical Secretaries (43-6013)

$13.48

$15.57

$17.71

Computer Operators (43-9011)

$15.42

$19.91

$24.12

Insurance Claims and Policy
Processing Clerks (43-9041)

$13.04

$15.59

$18.62

Occupation

EMSI Q2 2015 Data Set | www.economicmodeling.com

5

Regional Trends

Region

2016 Jobs

2020 Jobs

Change

% Change

●

Region

3,845

4,048

203

5.3%

●

State

78,824

82,676

3,852

4.9%

●

Nation

3,739,789

3,933,853

194,064

5.2%

●

Western Technical College
District

3,845

4,048

203

5.3%

Regional Breakdown

County

2020 Jobs

La Crosse County, WI

2,978

Monroe County, WI

280

Trempealeau County, WI

246

Crawford County, WI

166

Vernon County, WI

129

EMSI Q2 2015 Data Set | www.economicmodeling.com

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Occupation Gender Breakdown

Gender
●

Males

●

2015 Jobs 2015 Percent

Females

870

23.0%

2,907

77.0%

Occupation Age Breakdown

Age

2015 Jobs 2015 Percent

●

14-18

46

1.2%

●

19-24

459

12.2%

●

25-34

971

25.7%

●

35-44

739

19.6%

●

45-54

795

21.0%

●

55-64

628

16.6%

●

65+

139

3.7%

EMSI Q2 2015 Data Set | www.economicmodeling.com

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Occupation Race/Ethnicity Breakdown

Race/Ethnicity
●

White

●

2015 Jobs 2015 Percent
3,534

93.6%

Black or African American

73

1.9%

●

Hispanic or Latino

70

1.9%

●

Asian

56

1.5%

●

American Indian or Alaska Native

22

0.6%

●

Two or More Races

22

0.6%

●

Native Hawaiian or Other Pacific Islander

1

0.0%

Occupational Programs

3

7

184

Programs (2014)

Completions (2014)

Openings (2014)

CIP Code

Program

51.0716

Medical Administrative/Executive Assistant and
Medical Secretary

7

52.0408

General Office Occupations and Clerical
Services

0

11.0301

Data Processing and Data Processing
Technology/Technician

0

EMSI Q2 2015 Data Set | www.economicmodeling.com

Completions (2014)

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Industries Employing Health Office Professional Embedded Tech
Diploma 2015 (AED)
Occupation
Group Jobs
in Industry
(2015)

% of
Occupation
Group in
Industry
(2015)

% of Total
Jobs in
Industry
(2015)

Third Party Administration of Insurance and Pension Funds

371

9.8%

29.0%

General Medical and Surgical Hospitals

349

9.2%

3.6%

Telemarketing Bureaus and Other Contact Centers

306

8.1%

40.5%

Offices of Physicians (except Mental Health Specialists)

294

7.8%

13.4%

Insurance Agencies and Brokerages

140

3.7%

17.0%

Industry

EMSI Q2 2015 Data Set | www.economicmodeling.com

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Appendix A - Data Sources and
Calculations
Occupation Data
EMSI occupation employment data are based on final EMSI industry data and final EMSI staffing patterns. Wage
estimates are based on Occupational Employment Statistics (QCEW and Non-QCEW Employees classes of
worker) and the American Community Survey (Self-Employed and Extended Proprietors). Occupational wage
estimates also affected by county-level EMSI earnings by industry.

Location Quotient
Location quotient (LQ) is a way of quantifying how concentrated a particular industry, cluster, occupation, or
demographic group is in a region as compared to the nation. It can reveal what makes a particular region unique in
comparison to the national average.

Institution Data
The institution data in this report is taken directly from the national IPEDS database published by the U.S.
Department of Education's National Center for Education Statistics.

Completers Data
The completers data in this report is taken directly from the national IPEDS database published by the U.S.
Department of Education's National Center for Education Statistics.

Staffing Patterns Data
The staffing pattern data in this report are compiled from several sources using a specialized process. For QCEW
and Non-QCEW Employees classes of worker, sources include Occupational Employment Statistics, the National
Industry-Occupation Employment Matrix, and the American Community Survey. For the Self-Employed and
Extended Proprietors classes of worker, the primary source is the American Community Survey, with a small
amount of information from Occupational Employment Statistics.

Industry Data
EMSI industry data have various sources depending on the class of worker. (1) For QCEW Employees, EMSI
primarily uses the QCEW (Quarterly Census of Employment and Wages), with supplemental estimates from
County Business Patterns and Current Employment Statistics. (2) Non-QCEW employees data are based on a
number of sources including QCEW, Current Employment Statistics, County Business Patterns, BEA State and
Local Personal Income reports, the National Industry-Occupation Employment Matrix (NIOEM), the American
Community Survey, and Railroad Retirement Board statistics. (3) Self-Employed and Extended Proprietor classes
of worker data are primarily based on the American Community Survey, Nonemployer Statistics, and BEA State
and Local Personal Income Reports. Projections for QCEW and Non-QCEW Employees are informed by NIOEM
and long-term industry projections published by individual states.

State Data Sources
This report uses state data from the following agencies: Illinois Department of Employment Security, Employment
Projections; Iowa Workforce Development; Michigan Department of Labor and Economic Growth, Bureau of Labor
Market Information and Strategic Initiatives; Minnesota Department of Employment and Economic Development;
Wisconsin Department of Workforce Development, Bureau of Workforce Information

EMSI Q2 2015 Data Set | www.economicmodeling.com

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